As of June 2020, the projected inflation rate in Ethiopia was revised, considering the effects of the COVID-19 pandemic. Before the outbreak, the inflation was projected at **** percent in 2020 and *** percent in 2021. Under the assumption of a worst-case scenario, where the pandemic continues to the end of 2020, the outlook was reviewed to **** percent and **** percent as of 2020 and 2021, respectively.

Inflation Rate in Ethiopia decreased to 13.90 percent in June from 14.40 percent in May of 2025. This dataset provides the latest reported value for - Ethiopia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Cost of food in Ethiopia increased 11.70 percent in June of 2025 over the same month in the previous year. This dataset provides the latest reported value for - Ethiopia Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Zimbabwe had the highest inflation in Africa as of 2023. The rate reached roughly 172 percent when compared to the previous year, according to the source's estimates. This was followed by Sudan, with a rate increase of over 71 percent. Inflationary pressures in the country have been driven by a long-running economic crisis and political instability. By the end of 2021, the already fragile Sudanese economy suffered again when military forces took control of the government. With a

The relationship between inflation, income inequality, and economic growth is a subject of intense debate among economic researchers and policymakers. This study aims to analyze this relationship in Ethiopia using advanced statistical techniques such as VEC (vector error correction) model with Granger causality, and Johansen’s cointegrated. The study covers the period from 1980 to 2022 and includes pre and post-estimation diagnosis tests to ensure the accuracy of the model. The results indicate the presence of a long-run relationship among inflation, income inequality, and economic growth, as confirmed by Johansen’s cointegrated test. Additionally, the vector error correction model shows a strong long-run relationship between economic growth, income inequality, and inflation. In the short run, there is a significant association between income inequality and economic growth, as well as between inflation and economic growth. The Granger causality test reveals a bidirectional causality between economic growth and income inequality and between economic growth and inflation. However, there is a unidirectional causality from inflation to income inequality. Based on these findings, it is suggested that the government should implement various strategies and policies, including redistribution policies, social safety nets, promoting inclusive economic growth, coordinating effective monetary and fiscal policies, implementing progressive taxation, and reforming the labor market.

The total fertility rate in Ethiopia decreased to 3.99 children per woman compared to the previous year. As a result, the fertility rate in Ethiopia saw its lowest number in 2023 with 3.99 children per woman. The total fertility rate is the average number of children that a woman of childbearing age (generally considered 15 to 44 years) is expected to have throughout her reproductive years. Unlike birth rates, which are based on the actual number of live births in a given population, fertility rates are estimates (similar to life expectancy) that apply to a hypothetical woman, as they assume that current patterns in age-specific fertility will remain constant throughout her reproductive years.Find more statistics on other topics about Ethiopia with key insights such as death rate, crude birth rate, and infant mortality rate.

The aim of this study was to examine the effects of urbanization and land expropriation on the livelihoods of Peri-urban farmers in North Wollo Zone, Ethiopia. Data were collected from 378 peri-urban farmers using a structured questionnaire and multistage sampling. Qualitative data were obtained through focus group discussions and key informant interviews. A binary logistic regression model was used to identify factors influencing livelihood diversification among expropriated farm households. The results revealed a significant trend of expropriation without fair compensation, stemming from the disregard of legal procedures of expropriation and compensation in the study area. On average, 33.06% of respondents were fully expropriated and evicted, while the majority (66.94%) lost only part of their agricultural land. Expropriated farmers faced numerous challenges during their livelihood diversification, including high inflation, lack of urban living skills, informal land sales at low prices, misuse of compensation, displacement, family conflicts, social disruption, and skill gaps. They also blamed that they did not get any government support in properly utilizing compensation money for livelihood diversification. The Logit model results showed that livelihood diversification is positively influenced by factors such as the household head’s education, marital status, access to alternative land, fair compensation, off-farm employment, training, social networks, and livestock assets. It is negatively affected by farming as the primary occupation, household size, and expropriated land size. The study recommends that the government should help families of expropriated household’s secure sustainable livelihoods through fair compensation and proper support.

Socio-demographic characteristics of adult patients with epilepsy attending follow-up care at referral hospitals in Amhara region, Ethiopia, 2021 (n = 565).

Factors associated with poor sleep quality among adult epileptic patients attending follow-up care at referral hospitals in Amhara region, Ethiopia, 2021.